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| Titel |
An intercomparison of burnt area estimates derived from key operational products: the Greek wildland fires of 2005–2007 |
| VerfasserIn |
D. P. Kalivas, G. P. Petropoulos, I. M. Athanasiou, V. J. Kollias |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 20, no. 3 ; Nr. 20, no. 3 (2013-06-13), S.397-409 |
| Datensatznummer |
250018976
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| Publikation (Nr.) |
 copernicus.org/npg-20-397-2013.pdf |
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| Zusammenfassung |
| With the support of new technologies such as of remote sensing, today's
societies have been able to map and analyse wildland fires at large
observational scales. With regards to burnt area mapping in particular, two
of the most widely used operational products are offered today by the United
States National Aeronautics and Space Administration (NASA) and the European
Forest Fires Information System (EFFIS) of the European Commission. In this
study, a rigorous intercomparison of the burnt area estimates derived by
these two products is performed in a geographical information system (GIS)
environment for the Greek fires that occurred from 2005 to 2007. For the same
temporal interval, the relationships of the burnt area estimates by each
product are examined with respect to land use/cover and elevation derived
from CORINE 2000 and the ASTER global digital elevation model (GDEM),
respectively. Generally, noticeable differences were found in the burnt area
estimates by the two products both spatially and in absolute numbers. The
main findings are described and the differences in the burnt area estimates
between the two operational datasets are discussed. The lack of precise agreement between the two products which was found does not necessarily mean that one or the other product is
inaccurate. Rather, it underlines the requirement for their calibration and
validation using high-resolution remote sensing data in future studies. Our
work not only builds upon a series of analogous studies evaluating the
accuracy of the same or similar operational products worldwide, but also
contributes towards the development of standardised validation methodologies
required in objectively evaluating such datasets. |
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